# 05

- [Attention](/studies/notes/_archives/2022/05/attention.md)
- [BERT 常见面试问题](/studies/notes/_archives/2022/05/bert-chang-jian-mian-shi-wen-ti.md)
- [CNN](/studies/notes/_archives/2022/05/cnn.md)
- [BERT + CRF](/studies/notes/_archives/2022/05/crf-zai-shen-jing-wang-luo-mo-xing-zhong-de-zuo-yong.md)
- [Obsidian](/studies/notes/_archives/2022/05/obsidian.md)
- [RNN](/studies/notes/_archives/2022/05/rnn.md)
- [Sentence-BERT](/studies/notes/_archives/2022/05/sentencebert-lun-wen-bi-ji.md)
- [Transformer Wiki](/studies/notes/_archives/2022/05/transformerwiki.md)
- [Transformer 常见问题](/studies/notes/_archives/2022/05/transformer-chang-jian-wen-ti.md)
- [XGBoost 学习笔记](/studies/notes/_archives/2022/05/xgboost.md)
- [装饰器的本质](/studies/notes/_archives/2022/05/python-zhuang-shi-qi-de-ben-zhi.md)
- [不平衡学习专题](/studies/notes/_archives/2022/05/bu-ping-heng-xue-xi-gai-shu.md)
- [使用爱因斯坦标记法操作张量](/studies/notes/_archives/2022/05/shi-yong-ai-yin-si-tan-biao-ji-fa-cao-zuo-zhang-liang.md)
- [向后兼容（Backward-Compatible）的表示学习](/studies/notes/_archives/2022/05/xiang-hou-jian-rong-de-biao-shi-xue-xi.md)
- [基于互信息的表示学习](/studies/notes/_archives/2022/05/ji-yu-hu-xin-xi-de-biao-shi-xue-xi.md)
- [对比学习](/studies/notes/_archives/2022/05/ji-yu-dui-bi-xue-xi-de-biao-shi-xue-xi-xun-lian-kuang-jia.md)
- [损失函数](/studies/notes/_archives/2022/05/sun-shi-han-shu.md)
- [激活函数](/studies/notes/_archives/2022/05/ji-huo-han-shu.md)
- [数据不平衡专题](/studies/notes/_archives/2022/05/zong-shu-2019johnson.md)
- [Do We Really Need a Learnable Classifier at the End of Deep Neural Network?](/studies/notes/_archives/2022/05/lun-wen-2022yiboyang.md)
- [过拟合与正则化](/studies/notes/_archives/2022/05/guo-ni-he-yu-zheng-ze-hua.md)
- [预训练模型的轻量化微调](/studies/notes/_archives/2022/05/yu-xun-lian-mo-xing-qing-liang-hua-wei-tiao.md)
